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dc.contributor.authorConte, Andreaen_US
dc.contributor.authorVivarelli, Marcoen_US
dc.date.accessioned2006-04-04en_US
dc.date.accessioned2010-07-07T09:12:36Z-
dc.date.available2010-07-07T09:12:36Z-
dc.date.issued2005en_US
dc.identifier.urihttp://hdl.handle.net/10419/33543-
dc.description.abstractThis paper discusses the determinants of three alternative measures of innovative output by looking at firm's own formal R&D activities and at the acquisition of external technology (TA) in its embodied and disembodied components. These input-output relationships are also discussed by distinguishing between small and large firms and those belonging to low-tech and high-tech sectors. The empirical analysis focuses on the Italian industrial sector over the period 1998-2000, using a subsample of 2,949 firms from the third European Community Innovation Survey (CIS 3). A bivariate probit analysis framework is used to investigate the determinants of product and process innovations, while truncated regressions are used to discuss innovation intensity. This paper also discusses an alternative test procedure that permits an extension of Cragg's test in the analysis of survey data with weighted observations. Results show that R&D is strictly linked to product innovation, while TA is crucial in fostering process innovation; however, both inputs increase a firm's innovative intensity. Significant evidence is also found that small firms and firms belonging to low-tech sectors rely more on the acquisition of external technologies and on cooperation agreements, while larger firms in high-tech sectors rely more on their own formal R&D.en_US
dc.language.isoengen_US
dc.publisherIZA Bonnen_US
dc.relation.ispartofseriesIZA Discussion Papers 1878en_US
dc.subject.jelO31en_US
dc.subject.ddc330en_US
dc.subject.keywordR&Den_US
dc.subject.keywordproduct and process innovationen_US
dc.subject.keywordembodied technical changeen_US
dc.subject.keywordCIS 3en_US
dc.subject.keywordbivariate probiten_US
dc.subject.keywordCragg's testen_US
dc.titleOne or many knowledge production functions? Mapping innovative activity using microdataen_US
dc.typeWorking Paperen_US
dc.identifier.ppn504525891en_US
dc.rightshttp://www.econstor.eu/dspace/Nutzungsbedingungen-
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